Evidence map›Paper›PMID 40333557›Full record

ArticleMaterials (Basel, Switzerland)2025

Fracture Analysis of Concrete Structures: Prediction Based on Boundary Effect Model.

Gang Han, Xiangyu Han, Yi Ji, Xiaozhi Hu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Gang HanDepartment of Mechanical Engineering, University of Western Australia, Perth, WA 6009, Australia.ORCID 0000-0002-7468-7381
Xiangyu HanSchool of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.
Yi JiSchool of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0009-0003-4573-9714
Xiaozhi HuDepartment of Mechanical Engineering, University of Western Australia, Perth, WA 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple design model, able to link test results of small concrete samples to failures of large structures, is desirable for fracture analysis of concrete structures, particularly if the model has no special requirements on small samples, e.g., size, notched or un-notched. The linear Boundary Effect Model (BEM, which has evolved over the past 20 years, is able to provide the link between small samples and large structures with fairly reliable predictions and a built-in function of statistical analysis. BEM enables researchers and engineers to model the quasi-brittle fracture behavior of concrete and the associated size effects by focusing on the fracture process zone (FPZ) at the notch tip or at the specimen boundary (for an un-notched case). FPZ and quasi-brittle fracture of concrete are directly influenced by the average aggregate size (dav), but few models mathematically show such critical aggregate influence, except BEM. The aggregate size used in BEM can be accurately estimated separately before fracture experiments. A comprehensive dataset of concrete fracture results from the existing literature, along with a new experimental dataset from three-point bending (3-P-B) tests, involving 138 specimens with varying notch depths (un-notched, 1 mm shallow-notched, and 6 mm deep-notched) was analyzed. The specimens, which present inconsistent dimensions (160 mm span, approximately 40 mm thickness, and 38 mm width/height), were used to estimate FPZ at peak fracture loads and investigate their interactions with structural boundaries. Statistical analyses were integrated into BEM, allowing the model to account for the experimental scatter, thus improving its reliability as a predictive tool for maximum fracture loads of concrete structures. This study confirmed again that the linear BEM is easy to use and provides fairly accurate predictions across concrete specimens and structures of various sizes.

Indexed as

aggregate sizeboundary effect model (BEM)fracture process zone (FPZ)predictive fracture modelsize effect

Identifiers

PMID40333557
PMCPMC12028945

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